ShogunAI

ShogunAI is a desktop app for macOS that maintains a single memory of your work-people, projects, and open commitments-assembled from your own activity and stored locally. It uses that context to draft replies and prepare next steps, with any outg...

ShogunAI

About ShogunAI

ShogunAI is a macOS application that builds and maintains a persistent record of your work context-people, projects, promises, and open items-assembled from your daily activity across applications. It runs locally on your PC rather than in a cloud account, and it uses that accumulated state to draft replies and propose next steps. The product launched this week and is currently in a waitlist beta phase.

Review

ShogunAI addresses a specific problem: the work of re-explaining context to AI tools. The makers argue that models already have enough capability and that the missing piece is memory of your actual work. The tool attempts to close that gap by passively observing your activity and structuring it into a usable state that other agents or workflows can draw from.

The product is early stage. It runs on macOS only, is built for a single user, and the team has stated that team and enterprise plans are on the roadmap. Windows and mobile versions are also in development but not yet available.

Key Features

  • Automatic context capture: ShogunAI reads your work across applications without manual input, building a record of people, projects, promises, and open loops.
  • Local storage: The context state lives inside your own machine rather than in a vendor's cloud account.
  • Approval-gated sending: The tool can read automatically, but anything addressed to another person stops and waits for your explicit approval before being sent.
  • Model agnostic: You bring your own model, and the memory layer works regardless of which model you use.
  • MCP serving: ShogunAI exposes its context state over MCP (Model Context Protocol), which allows other agents like Hermes to query it instead of asking you questions.

Pricing and Value

Pricing is not yet defined. The product is in a waitlist beta phase, and the team has not published pricing tiers or subscription costs. The makers have noted that the tool is designed for one person in its current build, with team and enterprise plans listed as roadmap items. There is no publicly available information about free tiers, trial periods, or pricing models at this time.

Pros

  • Reading is automatic, which removes the manual work of copying threads and re-explaining context to AI tools.
  • Sending always requires approval, so nothing goes to another person without your sign-off.
  • Local storage means your work context stays on your machine rather than in someone else's account.
  • The MCP interface lets other agents consume the context state, so it can complement existing agent workflows instead of replacing them.
  • Model agnostic design means you can keep using the model you already prefer.

Cons

  • The product is only available on macOS today, and Windows and mobile builds are still in development.
  • Pricing is undefined, and the waitlist beta means there is no public timeline for general availability.
  • It is not well suited for teams or organizations that need shared context across multiple users, since the current build is single-person only and team plans are still on the roadmap.

ShogunAI is most useful for individual professionals who work across many applications and find themselves repeatedly re-explaining context to AI tools. If you already use agents like Hermes and want them to stop asking you questions at the start of each session, the MCP integration could fill that gap. For anyone who needs shared context across a team, or who works on Windows, this is not ready yet.



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